Deep Learning Based Prediction Model for the Next Purchase

• Main Authors: UTKU, A., AKCAYOL, M. A.
• Format: Article
• Language: English
• Published: Stefan cel Mare University of Suceava 2020-05-01
• Series: Advances in Electrical and Computer Engineering
• Subjects: time series analysis; deep learning; prediction; e-commerce
• Online Access: http://dx.doi.org/10.4316/AECE.2020.02005

Time series represent the consecutive measurements taken at equally spaced time intervals. Time series prediction uses the information in a time series to predict future values. The future value prediction is important for many business and administrative decision makers especially in e-commerce. To promote business, sales prediction and sensing of future consumer behavior can help business decision makers in marketing campaigns, budget and resource planning. In this study, deep learning based a new prediction model has been developed for the time of next purchase in e-commerce. The proposed model has been extensively tested and compared with RF, ARIMA, CNN and MLP using a retail market dataset. The experimental results show that the developed model has been more successful than RF, ARIMA, CNN and MLP to predict the time of the next purchase.